k_random_normal_variable

Tuple of integers, shape of returned Keras variable.

shape

Float, mean of the normal distribution.

mean

Float, standard deviation of the normal distribution.

scale

String, dtype of returned Keras variable.

dtype

String, name of returned Keras variable.

name

seed

Instantiates a variable with values drawn from a normal distribution.

Interface to 'Keras' <https://keras.io>, a high-level neural
networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation,
supports both convolution based networks and recurrent networks (as well as
combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

JJ Allaire

keras

R Interface to 'Keras'

Fran<c3><a7>ois Chollet

 RStudio

 Google

Yuan Tang

Daniel Falbel

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

k_random_normal_variable function

This function is part of a set of Keras backend functions that enable
lower level access to the core operations of the backend tensor engine
(e.g. TensorFlow, CNTK, Theano, etc.).
You can see a list of all available backend functions here:
<a href="https://keras.rstudio.com/articles/backend.html#backend-functions">https://keras.rstudio.com/articles/backend.html#backend-functions</a>.

k_random_normal_variable: Instantiates a variable with values drawn from a normal distribution.

Description

Usage

Arguments

Value

Keras Backend